From South Australia Government
JSON RDF ISO19115-3 XML

Building Approvals

Created 16/10/2024

Updated 16/10/2024

JSON RDF ISO19115-3 XML

Provides the number and value of dwelling units approved by sector (public/private) and by state, number and value of new houses, new other residential dwelling units approved by type of building, and the number and value of non-residential building jobs approved by type of building (i.e. by function such as 'retail and wholesale trade', 'offices') and value ranges. State data includes the number of private sector houses approved; number and value of new other residential dwellings by type of building such as flats, units or apartments in a building of one or two storeys; number and value of non-residential building jobs by type of building and sector; and for Greater Capital City Statistical Areas, the total number of dwelling units approved broken down by Houses, Dwellings Excluding Houses and Total Dwelling Units. Seasonally adjusted and trend estimates by state are included for the number of dwelling units and value of building approved. The quarterly value of building approved is shown in chain volume measure terms. Small geographic area data cubes are presented for Statistical Areas Level 2 and Local Government Areas. Small area data cubes will be released in an "Additional information" release five business days after the main publication.

Files and APIs

Tags

Additional Info

Field Value
Title Building Approvals
Language English
Licence Creative Commons Attribution 3.0 Australia
Landing Page https://devweb.dga.links.com.au/data/dataset/db7961ba-b823-4a0d-ad5d-d502c97dc8cb
Contact Point
South Australian Governments
DataSA@sa.gov.au
Reference Period 15/04/2013
Geospatial Coverage SA0062407: South Australia
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Building Approvals". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/building-approvals

Original dataset
Dataset copies

No duplicate datasets found.